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Project

Moscow radiologists filled out more than 400 thousand protocols using a voice assistant

Customers: Center for Diagnostics and Telemedicine (NPCC DiT DZM)

Moscow; Pharmaceuticals, Medicine, Healthcare

Product: Voice2Med Speech Recognition System in Medicine

Project date: 2020/06  - 2020/12

2024: More than 400,000 medical protocols completed

Metropolitan doctors are actively using artificial intelligence. With the help of voice input, more than 400 thousand medical protocols have already been filled out. The CST was announced on April 8, 2024.

source = CST

Speech recognition technology allows you to dictate the description of the radiation study. This significantly saves doctors' time.

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Thanks to the unified digital healthcare platform developed by the complex of social development of the city of Moscow and the Department of Information Technologies, in 2020 it was possible to implement the first use of voice input in medicine in the country - a large-scale project that included testing the system, collecting feedback from doctors, and developing a methodology for voice filling documentation. This was followed by the stage of infrastructure preparation, preparation and connection of automated workplaces of doctors to the server of the speech recognition system. As of April 2024, specialists from the Center for Diagnostics and Telemedicine of the Department of Health record that more than 400 thousand radiological protocols were filled with voice, and the efficiency of voice input compared to keyboard input increased to 30%. The work continues, educational and methodological materials are being developed, methodological support is being implemented so that the advantages of voice input can be scaled,
said Dmitry Dyrmovsky, CEO of the CST Group of Companies.
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The project is based on the project developed by voice assistant Voice2Med the CST group. This is a solution based on artificial intelligence that converts the doctor's voice into text. So speech recognition technology allows you to dictate the description of the study and save time for doctors to enter information manually.